#time-series

AI Hacker News 2h ago 2 min read

A Hacker News post about TimesFM drew 254 points and 95 comments, and the discussion quickly shifted from the GitHub repo itself to harder questions about generalization across domains, trust and explainability in forecasts, and comparisons with Prophet and Nixtla. The thread treated TimesFM 2.5 as a concrete update, but also as a test case for how far a general time-series foundation model can really go.

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